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COLT
1994
Springer
13 years 8 months ago
Bayesian Inductive Logic Programming
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
Stephen Muggleton
ILP
2007
Springer
13 years 11 months ago
Using Bayesian Networks to Direct Stochastic Search in Inductive Logic Programming
Stochastically searching the space of candidate clauses is an appealing way to scale up ILP to large datasets. We address an approach that uses a Bayesian network model to adaptive...
Louis Oliphant, Jude W. Shavlik
AIIA
2007
Springer
13 years 11 months ago
A Top Down Interpreter for LPAD and CP-Logic
Logic Programs with Annotated Disjunctions and CP-logic are two different but related languages for expressing probabilistic information in logic programming. The paper presents a...
Fabrizio Riguzzi
ML
2006
ACM
122views Machine Learning» more  ML 2006»
13 years 4 months ago
PRL: A probabilistic relational language
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
Lise Getoor, John Grant
IJAR
2008
106views more  IJAR 2008»
13 years 4 months ago
Probabilistic logic with independence
This paper investigates probabilistic logics endowed with independence relations. We review propositional probabilistic languages without and with independence. We then consider g...
Fabio Gagliardi Cozman, Cassio Polpo de Campos, Jo...